| ASTER多光谱影像与资源二号全色影像融合研究 |
| |
| 引用本文： | 董张玉,赵萍,胡文亮.ASTER多光谱影像与资源二号全色影像融合研究[J].遥感技术与应用,2010,25(1):143-148. |
| |
| 作者姓名： | 董张玉 赵萍 胡文亮 |
| |
| 作者单位： | 1.安徽师范大学国土资源与旅游学院,安徽 芜湖 241000；;
2.合肥工业大学资源与环境工程学院,安徽 合肥 230009 |
| |
| 基金项目： | 国家自然科学基金，安徽省教育厅自然科学基金，安徽省教育厅教学项目，合肥工业大学博士学位专项资助基金，合肥工业大学科学研究发展基金 |
| |
| 摘 要： | 随着遥感获取数据手段的日益增多,遥感影像的融合技术备受关注。针对ASTER多光谱影像光谱信息丰富、分辨率小,资源二号全色影像分辨率高、纹理信息丰富的特点,以安徽省马鞍山市当涂县的ASTER多光谱影像与资源二号全色影像为例,分别采用基于主成分分析、小波变换以及主成分分析与小波变换相结合的3种融合方法进行融合实验,并对融合后的影像进行对比,探讨ASTER多光谱影像与资源二号全色影像融合的方法和效果。结果表明:采用主成分分析与小波变换相结合的方法对两幅影像融合的效果最好,极大地改善了两种单一方法的缺点,提高了原始影像的目视效果和光谱信息,从而为区域研究提供了更精确的数据资料。
|
| 关 键 词： | 小波变换 主成分变换 影像融合 资源二号 ASTER多光谱影像 |
| 收稿时间： | 2008-12-03 |
| 修稿时间： | 2009-12-01 |
Research on Fusion of ASTER Multi-spectral Image and Resources-2 Panchromatic Image |
| |
| DONG Zhang-yu,ZHAO Ping,HU Wen-liang.Research on Fusion of ASTER Multi-spectral Image and Resources-2 Panchromatic Image[J].Remote Sensing Technology and Application,2010,25(1):143-148. |
| |
| Authors: | DONG Zhang-yu ZHAO Ping HU Wen-liang |
| |
| Affiliation: | 1.Territorial Resources and Tourism,Anhui Normal University,Wuhu 241000,China；;
2.College of Resources and Environmental Engineerng,Hefei University of Technology,Hefei 230009,China） |
| |
| Abstract: | Remote sensing image fusion technology is concerned as the ways to obtain the RS data are grow-ing. Aiming at the characteristics of multi-spectral imaging with more spectral information, Low-resolution and Resource-2 panchromatic images with high-resolution, rich texture information, this article,taking the ASTER multi-spectral image and Resources-2 panchromatic image of Dangtu County in Ma'anshan,Anhui Province as a case,discusses the fusion methods and effects of two kinds of images using three fusion meth-ods based on principal component transformation,wavelet transform as well as principal component trans-formation combination with wavelet transform respectively,and comparing three fused images. The results show that the method based on principal component transformation combination with wavelet transform owns the best integration effect. It greatly overcomes the shortcoming of the fusion methods based on sin-gle transformation, and improves the visual effects and spectral information of the original image to provide more precise data for regional research. |
| |
| Keywords: | Wavelet transform PCA Image fusion Resources-2 panchromatic image ASTER multi-spec-tral image |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《遥感技术与应用》浏览原始摘要信息 |
|
点击此处可从《遥感技术与应用》下载全文 |
|
